Jesse Cui is a Machine Learning Engineer in New York with eight years of experience building AI/ML platforms and data infrastructure for enterprise-scale systems. He has delivered low-latency data stores and metadata/AI infrastructure at Capital One and Meta, and now focuses on real-time aesthetic personalization at Amazon. His background blends production-grade software engineering with applied ML, enabling fast, reliable data pipelines that power personalization and inference. A stint at a social enterprise startup (Levra Labs) reflects a bent for mission-driven product work alongside high-throughput systems engineering. Jesse holds coursework from the University of Pennsylvania and is comfortable moving models from research-adjacent infrastructure into production environments. Colleagues describe him as pragmatic and results-oriented, skilled at turning complex data problems into operational services.
Contributions:5 PRs, 36 pushes, 1 branch in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.